This project derives resource-efficient urban intensification strategies that are based on a deeper understanding of the human activity in the built space. The project couples urban science (complexity science, urban economics and machine learning) with urban planning and design, which so far have been rather separated streams. This allows for the development of well-informed and place-specific planning and design interventions to sustain and enhance socio-spatial interactions in densifying urban environments. These measures will allow the functioning of densifying cities in a resource-saving way but also make urban environments more vital for its residents.